Deep learning for fault diagnosis and prognosis in manufacturing systems.
Ruqiang YanXuefeng ChenPeng WangDarian M. OnchisPublished in: Comput. Ind. (2019)
Keyphrases
- fault diagnosis
- deep learning
- manufacturing systems
- manufacturing environment
- neural network
- fault detection
- unsupervised learning
- expert systems
- complex systems
- petri net
- unsupervised feature learning
- fuzzy logic
- fault detection and diagnosis
- operating conditions
- weakly supervised
- rbf neural network
- gas turbine
- rotating machinery
- electronic equipment
- multiple faults
- monitoring and fault diagnosis
- power transformers
- machine learning
- mental models
- analog circuits
- condition monitoring
- chemical process
- object detection
- control system
- mathematical model
- object recognition
- decision making
- multi sensor information fusion